import backtrader as bt
import pandas as pd
import mysql.connector
 
# 连接MySQL数据库
db_connection = mysql.connector.connect(
    host="your_host",
    user="your_username",
    password="your_password",
    database="your_database"
)
 
# 读取数据
query = "SELECT * FROM your_table"
df = pd.read_sql(query, db_connection)
 
# 将DataFrame转换为backtrader数据feed
data = bt.feeds.PandasData(dataname=df, fromdate=df.index[0], todate=df.index[-1])
 
# 创建一个简单的策略
class MyStrategy(bt.Strategy):
    def log(self, txt, dt=None):
        dt = dt or self.datas[0].datetime.date(0)
        print('%s, %s' % (dt.isoformat(), txt))
 
    def __init__(self):
        # 初始化策略
        pass
 
    def next(self):
        # 策略逻辑
        pass
 
# 创建一个cerebro实例
cerebro = bt.Cerebro()
 
# 添加数据feed和策略
cerebro.adddata(data)
cerebro.addstrategy(MyStrategy)
 
# 运行回测
cerebro.run()
 
# 关闭数据库连接
db_connection.close()